Interactive person-retrieval in TV series and distributed surveillance video

  • Authors:
  • Martin Bäuml;Mika Fischer;Keni Bernardin;Hazim K. Ekenel;Rainer Stiefelhagen

  • Affiliations:
  • Karlsruhe Institute of Technology, Karlsruhe, Germany;Karlsruhe Institute of Technology, Karlsruhe, Germany;Karlsruhe Institute of Technology, Karlsruhe, Germany;Karlsruhe Institute of Technology, Karlsruhe, Germany;Karlsruhe Institute of Technology, Karlsruhe, Germany

  • Venue:
  • Proceedings of the international conference on Multimedia
  • Year:
  • 2010
  • The video face book

    MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling

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Abstract

Tracking and identifying persons in videos are important building blocks in many applications. For browsing of multimedia data or interactive investigation of surveillance footage it is not even necessary to uniquely identify a person. Rather it often suffices to find occurrences of a person indicated by the user with an exemplary image sequence. We present two systems in which the search for a specific person can be initiated by a sample image sequence and then be further refined by interactive feedback by the operator. In the first system, episodes of TV series have been processed offline and can be searched for occurrences of the different characters. The second system tracks people online in multiple cameras and makes the sequences immediately searchable from a central station